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Área: Lorem ipsum Razón Social: Telefónica 3 Video and cloud connectivity requirements Capacity: Video traffic increase is driving a CDN based video network architecture “ There is a strong need for high-capacity as well as ultra-long haul unregenerated reach between Datacenters” [Google, OFC 2011 Drivers and Applications of Optical Technologies for Internet Data Center Networks Capacity: Video traffic increase is driving a CDN based video network architecture “ There is a strong need for high-capacity as well as ultra-long haul unregenerated reach between Datacenters” [Google, OFC 2011 Drivers and Applications of Optical Technologies for Internet Data Center Networks Elasticity: Cloud traffic demands will have unprecedented bandwidth variability “Variable rate transmission has to be tightly integrated with the packet layer and managed at the system/network level to realize the overall throughput maximization”. [Google, OFC 2011 Drivers and Applications of Optical Technologies for Internet Data Center Networks Elasticity: Cloud traffic demands will have unprecedented bandwidth variability “Variable rate transmission has to be tightly integrated with the packet layer and managed at the system/network level to realize the overall throughput maximization”. [Google, OFC 2011 Drivers and Applications of Optical Technologies for Internet Data Center Networks QoS: Traffic differentiation over the same infrastructure (video, data, voice, bulk, etc) Service experience in the Virtual Machines hosted in the cloud must be equivalent to the one perceived in a LAN QoS: Traffic differentiation over the same infrastructure (video, data, voice, bulk, etc) Service experience in the Virtual Machines hosted in the cloud must be equivalent to the one perceived in a LAN Virtual Machines deployments vs physical servers Intra-cloud network bandwidth variability (8 case studies) Source: Towards predictable datacenter networks, SIGCOMM 2011

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Área: Lorem ipsum Razón Social: Telefónica These network technologies will pave the path towards joint network and cloud optimization by enabling..  Flexible service platform design since service nodes (VM server, IPTV head end, BRAS or even the CDN end/entry points) may be located anywhere in the network.  Automated connectivity between access and service nodes since access nodes will be able to automatically reach any service node (e.g CDN end points, cloud servers, etc) if required, enhancing the network reliability and survivability, and optimizing the traffic distribution.  There exist a standardization initiative within IETF “Cross Stratum Optimization” working on new control plane paradigms for a joint network and cloud optimization

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Área: Lorem ipsum Razón Social: Telefónica Example of Use case: The Virtual PC High stress in the core network  high cost End-user equipment leverages high performance computation and storage capacities of running VMs within a datacenter. The service: The rational behind: Simpler terminals (e.g power efficiente mobile devices). VMs run within a datacenter with granted performance and reliability. … The issues: Massive penetration may entail: - Network (Bandwidth) bottleneck at the Data Center - Difficulties in bandwith scalability - Multiple network segments involved in each connectivity service - High number of connections through the core - Several service classes in the core … Data Center Core network Access node A Access Node B

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Área: Lorem ipsum Razón Social: Telefónica Example of Use case: The Virtual PC Core network (MPLS/Burst switching) ANAN ANAN ANAN Provisioning of VM service Low delay Better bandwidth scalability Small packets remain in the access not the core A unique service class in the core Overspill in the dynamic network ensures service continuity, restoration and data replication Distributing the data center between the access nodes brings end-user Vs. VM interaction to the network edge, driving to: A distributed data center makes up a sound business case

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Área: Lorem ipsum Razón Social: Telefónica In summary Network architecture should be updated in order to fulfil the requirements in terms of capacity, QoS and elasticity from new video and cloud applications. A combination of E2E MPLS and photonic transport are the most efficient and mature solution available 1 3 E2E MPLS and photonic transport will pave the path towards joint network, CDN and cloud optimization 2 A distributed server approach makes up a sound business case for nomadic Virtual PC services 4 E2E MPLS photonic networks enable a smooth service deployment